Yang Li | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr. Yang Li | Electrical Engineering
| Best Researcher Award

Director at Forensic Science Institute China People’s Police University, China.

Dr. Li Yang is an Associate Professor at the China People’s Police University, specializing in electrical fire investigation and forensic evidence analysis. With a Ph.D. in Safety Science and Engineering from Xi’an University of Science and Technology and extensive research on arc faults, short-circuit initiation, and pyrolysis gas analysis, he has become a leading voice in electrical fire forensics. He serves on the Committee on Electrical Fire Safety of the China Fire Association and has led multiple national and provincial projects. Recognized as a Distinguished Teacher of Hebei Province in 2022, his contributions have significantly enhanced fire evidence identification technologies. He has also played a pivotal role in national training programs and technical innovations for fire investigators.

🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award :

Dr. Li Yang is a strong candidate for the Best Researcher Award due to his pioneering work in electrical fire investigation. His research advances the forensic science field through the development of intelligent identification technologies and fault simulation devices. He has been instrumental in leading key national and provincial projects, authoring technical patents, and contributing to cutting-edge publications. His academic leadership, combined with practical innovation, addresses critical safety concerns in fire investigation. Recognition by both academic institutions and the Ministry of Public Security underscores his impact. His ability to integrate science, engineering, and real-world application makes him not only a productive researcher but a transformative force in safety science.

🎓 Education :

Li Yang holds a Doctor of Philosophy in Safety Science and Engineering from Xi’an University of Science and Technology (2018–2022). Prior to that, he earned a Master of Science in Materials Science (2008–2011) and a Bachelor of Science in Fire Investigation (2004–2008), both from the China People’s Police University. His interdisciplinary educational background has equipped him with a solid foundation in forensic materials, fire safety engineering, and investigative techniques. This strong academic progression supports his current research and teaching in the field of electrical fire forensics and contributes to the training of future safety professionals in law enforcement and public safety sectors.

🏢 Work Experience :

Dr. Li Yang has served in various academic positions at the China People’s Police University since 2014. Currently an Associate Professor in the Investigation College (since 2020), he previously held positions in the Department of Fire Engineering. Over the years, he has been deeply involved in curriculum development, investigator training, and research supervision. His expertise has also been sought by national bodies such as the Ministry of Public Security, where he serves as a fire-related case investigation expert. He has combined teaching excellence with project leadership across government-funded and institutional research. His dual role as educator and researcher enables him to bridge academic knowledge with field application effectively.

🏅 Awards and Honors :

Dr. Li Yang has received numerous accolades for his contributions. Notably, he was honored as a Distinguished Teacher of Hebei Province in 2022 and selected as a Fire Investigation Expert by the Criminal Investigation Bureau of the Ministry of Public Security in 2020. He is a Committee Member on Electrical Fire Safety with the China Fire Association. His research earned the Third Prize from the Ministry of Public Security Science and Technology Award in 2019. These awards reflect both his academic excellence and societal impact. Through these honors, Dr. Yang has been recognized for his research leadership, technological innovation, and dedication to advancing fire safety practices across China.

🔬 Research Focus :

Dr. Li Yang’s research centers on electrical fire forensics, particularly the mechanisms behind short-circuit faults, arc-related ignition, and trace identification. He applies cutting-edge tools such as STA-FTIR-GC/MS to analyze pyrolysis gases from common materials in electrical systems, aiming to establish the forensic links between device failure and fire cause. His studies also examine the behavior of molten droplets, overcurrent wire degradation, and fault inversion modeling under variable environmental conditions. He leads national R&D programs and technical research projects focusing on intelligent identification technologies and early-warning mechanisms. His goal is to enhance fire evidence analysis reliability and improve training and tools for first responders and forensic investigators in China.

📊 Publication Top Notes:

🔥 Lin Q‑W, Li X, Li Y, Deng J, Man P‑R, Jia Y‑Z. Comparative investigation on thermo‑oxidative degradation and fire characteristics of flame‑retardant and non‑flame‑retardant polyvinyl chloride wires. Thermal Science and Engineering Progress. 2025;57:103210. • 📄 Cited X times

Lin Q‑W, Li Y, Man P‑R, Jin Y, Lyu H, Wang H, Zhao Y, Su W, Deng J. Effects of applied voltages on the occurrence features of short circuits in building cables exposed to constant radiation heat. Journal of Building Engineering. 2024;98:111038. • 📄 Cited Y times

🧪 Lin Q‑W, Li Y, Deng J, F‑F He, P‑R Man. Thermo‑oxidative degradation behavior of poly(vinyl chloride) insulation for new and overloaded wires via TG‑FTIR. Journal of Applied Polymer Science. 2024;141(39):e55994. • 📄 Cited Z times

🧯 Li Z, Lin Q‑W, Li Y, et al. Effect of the current on the fire characteristics of overloaded polyvinyl chloride copper wires. Polymers. 2022;14(21):4766.* • 📄 Cited A times

🔥 Lin Q‑W, Li Y, Deng J. Formation mechanism and microstructural analysis of blistering marks on overcurrent copper wires. Fire Safety Journal. 2024;150(Pt A):104268. • 📄 Cited B times

Li Y, Sun Y, Gao Y, et al. Analysis of overload‑induced arc formation and bead characteristics in a residential electrical cable. Fire Safety Journal. 2022;131:103626. • 📄 Cited C times

Xin Bai | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Xin Bai | Mechanical Engineering
|Best Researcher Award

Assist. Prof. Institute of Metal Research, Chinese Academy of Sciences, China.

 

Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.

🌍 Professional Profile:

Orcid

🏆 Suitability for the Best Researcher Award

 

Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.

🎓 Education 

Dr. Xin Bai received comprehensive training in materials science and engineering, culminating in his doctoral studies at the prestigious Institute of Metal Research, Chinese Academy of Sciences (CAS). His academic path reflects a strong foundation in mechanical behavior, fracture mechanics, and fatigue analysis. He has also engaged in postdoctoral research and advanced studies in failure physics, enhancing his expertise in structural reliability. His educational journey combined rigorous scientific coursework with hands-on research in laboratory environments, allowing him to acquire the necessary skills for leading complex experimental and theoretical investigations. His continued affiliation with CAS exemplifies the high caliber of his education and research orientation.

🏢 Work Experience 

Dr. Xin Bai serves as an Associate Professor at the Institute of Metal Research, Chinese Academy of Sciences, and is actively involved in advanced fatigue and reliability studies. His professional journey includes extensive experience in developing fatigue reliability methods based on physical failure mechanisms, small-scale testing, and predictive modeling. He has led multiple research projects focusing on translating laboratory-scale data into accurate, full-scale structural performance assessments. His work integrates mechanical engineering, software development, and statistical modeling to address real-world engineering problems. As a member of the Youth Innovation Promotion Association of CAS, he collaborates with leading scientists nationwide, contributing to China’s strategic goals in materials reliability and engineering safety.

🏅 Awards and Honors 

Dr. Xin Bai has been honored as a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences—an elite recognition awarded to promising young scientists. This distinction underscores his contributions to material reliability and fatigue research. He has received accolades for his innovative research methods and impactful findings, with invitations to present at top conferences and collaborations with national-level research teams. His software development efforts for fatigue prediction have been adopted in academic and industrial settings, further establishing his influence in the field. His work continues to earn national and institutional praise, positioning him among China’s rising stars in materials science and engineering.

🔬 Research Focus 

Dr. Xin Bai’s research centers on developing low-cost, high-efficiency methods for assessing fatigue reliability based on failure physics. His focus areas include: (1) structural fatigue reliability assessment using minimal testing data, enabling accurate predictions without extensive experimentation; (2) techniques for extrapolating full-scale component fatigue performance from small specimen data, significantly reducing testing time and cost; and (3) software development to support fatigue fracture analysis and reliability modeling. His interdisciplinary approach combines materials science, mechanical engineering, and data-driven modeling to advance the understanding and prediction of structural behavior under cyclic loads. His innovations have broad applications in aerospace, automotive, and infrastructure industries, helping ensure long-term structural safety and performance.

📊 Publication Top Notes:

  • Song Zhou; Zhaoxing Qian; Xin Bai (2024). Static properties evaluation for laser deposition repaired TA15 components based on a constitutive model considering annealing heat treatment. Engineering Failure Analysis.

  • Xin Bai; Peng Zhang; Shuo Liu; Rui Liu; Bingfeng Zhao; Zhefeng Zhang (2023). Fatigue strength prediction of large-size component through size effect measurement and determination. International Journal of Fatigue.

  • X. Bai; P. Zhang; Q. Wang; R. Liu; Z. J. Zhang; Q. Q. Duan; E. N. Yang; H. Bo; Z. F. Zhang (2022). A New Dominance Distribution Method to Select Materials with Higher Fatigue Resistance under Property Scatter and Load Uncertainty. Journal of Materials Engineering and Performance.

  • Zhiming Xie; Peng Wang; Bin Wang; P. Zhang; Xin Bai; Zhefeng Zhang (2022). Effects of Heat Treatment on Fatigue Properties of Double Vacuum Smelting High‐Carbon Chromium‐Bearing Steel. Advanced Engineering Materials.

  • Shuo LIU; Bin Wang; P. Zhang; Xin Bai; Qiqiang Duan; Xuegang Wang; Zhefeng Zhang (2022). The Effect of Microstructure Inhomogeneity on Fatigue Property of EA4T Axle Steel. steel research international.

  • Bingfeng Zhao; Liyang Xie; Yu Zhang; Jungang Ren; Xin Bai; Bo Qin (2021). An improved dynamic load-strength interference model for the reliability analysis of aero-engine rotor blade system. Journal of Aerospace Engineering.

  • Lei Wang; Bingfeng Zhao; Lei Wang; Zhiyong Hu; Song Zhou; Xin Bai (2021). A new multiaxial fatigue life prediction model for aircraft aluminum alloy. International Journal of Fatigue.

  • Xin Bai; Peng Zhang; Enna Yang; Qiqiang Duan; Hao Bo; Zhefeng Zhang (2020). Dominance distributions for fatigue performance of materials and its application in material selection. Preprint on Authorea.

  • Xin Bai; Peng Zhang; Zhen‐jun Zhang; Rui Liu; Zhe‐feng Zhang (2019). New method for determining P‐S‐N curves in terms of equivalent fatigue lives. Fatigue & Fracture of Engineering Materials & Structures.

  • Xin Bai; Liyang Xie; Ruijin Zhang; Ruoyi Guan; Anshi Tong; Enjun Bai (2017). Measurement and estimation of probabilistic fatigue limits using Monte-Carlo simulations. International Journal of Fatigue.